Senior ML Scientist (Pricing Reinforcement Learning)

Senior ML Scientist (Pricing Reinforcement Learning)

Plano TX- Remote

Key Responsibilities

Algorithm Development: Conceptualize design and implement state-of-the-art ML models for dynamic pricing and personalized recommendations.

Reinforcement Learning Expertise: Develop and apply RL techniques including Contextual Bandits, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization to solve pricing and optimization challenges.

AI Agents for Pricing: Build AI-driven pricing agents that incorporate consumer behavior, demand elasticity, and competitive insights to optimize revenue and conversion.

Rapid ML Prototyping: Experience in quickly building, testing, and iterating on ML prototypes to validate ideas and refine algorithms.

Feature Engineering: Engineer large-scale consumer behavioral feature stores to support ML models ensuring scalability and performance.

Cross-Functional Collaboration: Work closely with Marketing, Product, and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact.

Controlled Experiments: Design, analyze, and troubleshoot AB and multivariate tests to validate the effectiveness of your models.

Qualifications

8 years in machine learning, 5 years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. Expertise in classical ML techniques eg Classification, Clustering, Regression using algorithms like XGBoost, Random Forest, SVM, and KMeans with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization. Proficiency in handling tabular data including sparsity, cardinality analysis, standardization, and encoding. Proficient in Python and SQL including Window Functions, Group By, Joins, and Partitioning. Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch. Knowledge of controlled experimentation techniques including causal AB testing and multivariate testing.

Required Skills:

5+ Yrs Experience in Pricing Reinforcement Learning, 8+ Yrs Experience in Machine Learning, Expert in Python & Tabular Data SQL, Knowledge of AB Testing